metadata

library_name: transformers
license: apache-2.0
base_model: tsavage68/Na_M2_1000steps_1e7_SFT
tags:
  - trl
  - dpo
  - generated_from_trainer
model-index:
  - name: Na_M2_100steps_1e7rate_03beta_cSFTDPO
    results: []

Na_M2_100steps_1e7rate_03beta_cSFTDPO

This model is a fine-tuned version of tsavage68/Na_M2_1000steps_1e7_SFT on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0000
Rewards/chosen: 2.8383
Rewards/rejected: -9.2541
Rewards/accuracies: 1.0
Rewards/margins: 12.0924
Logps/rejected: -110.7703
Logps/chosen: -38.6713
Logits/rejected: -2.5103
Logits/chosen: -2.5250

Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure

Training hyperparameters

The following hyperparameters were used during training:

learning_rate: 1e-07
train_batch_size: 2
eval_batch_size: 1
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: cosine
lr_scheduler_warmup_steps: 100
training_steps: 100

Training results

Training Loss	Epoch	Step	Validation Loss	Rewards/chosen	Rewards/rejected	Rewards/accuracies	Rewards/margins	Logps/rejected	Logps/chosen	Logits/rejected	Logits/chosen
0.0004	0.2667	50	0.0000	2.3360	-8.0685	1.0	10.4045	-106.8185	-40.3458	-2.5169	-2.5309
0.0	0.5333	100	0.0000	2.8383	-9.2541	1.0	12.0924	-110.7703	-38.6713	-2.5103	-2.5250

Framework versions

Transformers 4.44.2
Pytorch 2.4.0+cu121
Datasets 2.21.0
Tokenizers 0.19.1